C# Java TSQL NoSQL C++ Cloud Coumputing AWS Kafka Spark Big Data Machine Learning

Job Summary: The AWS Industry Products (AIP) team directly collaborates with strategic customers on game-changing emerging technologies, building new industry-specific products to directly impact and transform industries at AWS scale. AIP products...


Job Summary:


The AWS Industry Products (AIP) team directly collaborates with strategic customers on game-changing emerging technologies, building new industry-specific products to directly impact and transform industries at AWS scale. AIP products focus on delivering customer value by reducing the complexity and expertise required to build and operate modern digital industries on AWS. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses. We work closely with strategic customers to bring their domain expertise and our digital and innovation experience to solve industry-wide challenges on AWS.

You will get to solve some of the most challenging problems in the world work with industry leaders across multiple verticals such as consumer, industrial, chemical, cosmetic, automotive, etc. If you can touch it, it has been manufactured!

Our technical challenges involve back-end software engineering, edge computing, applied science, and front end development. We need to develop and apply quantitative algorithms (e.g. machine learning, computer vision, network optimization) to make industry process analysis relevant and actionable for operations engineers. We build software and information systems to process massive scale operational data, infer information relationship across complex systems, train decision models and apply them to critical operations at industrial scale. We work very closely with innovative, market leading customers to drive effective digital transformation of entire industries and the supply chains that support them.

As a member of the team, you can have a huge impact on everything from the functionality we deliver for our customers, to the design and architecture of our systems, to the algorithms we employ, to the culture we build. We also look for engineers that are obsessed with customer success, passionate about simplification and design-thinking and excited to dive deep into the growth opportunity of delivering new product categories to new customer types in the manufacturing and industrial solutions space.

About Us:


Inclusive Team Culture - Our team has a developed a reputation for attracting, developing, and retaining amazing talent from diverse backgrounds. Yes, we do get to build really cool services and work closely with customers, but we also think a big reason for our diversity is the inclusive and welcoming culture we try to cultivate every day. We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance - Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

Mentorship & Career Growth - Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.


Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.


BASIC QUALIFICATIONS

· Masters or Bachelors Degree in Computer Science or related field of studies
· Minimum of 7 years of industry programming experience with at least one modern language such as Java, C++, or C# including object-oriented design, with 3+ years experience as team lead or architect
· Strong analytical skills with capability to solve ambiguous problems, and familiarity with cloud and web services technologies
· Good written and oral communication skills, be a fast learner and have the ability to adapt quickly to a fast-paced development environment
· Demonstrated leadership abilities in an engineering environment in driving best engineering practices


PREFERRED QUALIFICATIONS

· Experience with design/architecting large-scale distributed systems preferably using AWS technologies.
· Proven ability to mentor other software developers and to improve development best practices
· Practical experience with key enabling technologies such as ML, workflow orchestrator and/or analytics pipelines
· Familiarity with operations or building software for supply chain, manufacturing, or process industries
· Experience with big data technology stacks: SQL & NoSQL data stores, streaming & batch technologies such as Kafka, Kinesis, Spark, EMR

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